static void Main(string[] args)
{
//vybrat excel s hodnotami
//vyparsovat ho, ulozit si hodnoty
//rozbehat neuronku
//naucit neuronku
//testovat neuronku
//skusit pustit data on-the-fly
OpenFileDialog ofd = new OpenFileDialog()
{
Multiselect = false
};
string excelFileName;
if (ofd.ShowDialog() == DialogResult.OK)
{
excelFileName = ofd.FileName;
}
else
{
throw new Exception("Je nutne vybrat subor");
}
var excelManager = new ExcelParser(excelFileName);
excelManager.ParseSourceData();
double[][] input = NeuronData.GetInputMatrix();
double[][] output = NeuronData.GetOutputMatrix();
// create neural network
ActivationNetwork network = new ActivationNetwork(
new SigmoidFunction(3),
3, // two inputs in the network
3, // two neurons in the first layer
2); // one neuron in the second layer
// create teacher
BackPropagationLearning teacher =
new BackPropagationLearning(network);
bool needToStop = false;
// loop
while (!needToStop)
{
// run epoch of learning procedure
System.Threading.Thread.Sleep(1000);
double error = teacher.RunEpoch(input, output);
Console.WriteLine(error);
// check error value to see if we need to stop
// ...
}
}
